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r-breakaway

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Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis. 'breakaway' is the premier package for statistical analysis of microbial diversity. 'breakaway' implements the latest and greatest estimates of species richness, as well as the most commonly used estimates. Methods uniquely available in this package include objective Bayes estimators described in Barger and Bunge (2010) <doi:10.1214/10-BA527>, frequency-ratio-based estimators described in Willis and Bunge (2015) <doi:10.1111/biom.12332>, and as described in Willis, Whitman, and Bunge (2016) <doi:10.1111/rssc.12206>, a linear modeling approach for detecting changes in diversity.

Installation

To install this package, run one of the following:

Conda
$conda install bioconda::r-breakaway

Usage Tracking

4.7.9
3.0
2 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis. 'breakaway' is the premier package for statistical analysis of microbial diversity. 'breakaway' implements the latest and greatest estimates of species richness, as well as the most commonly used estimates. Methods uniquely available in this package include objective Bayes estimators described in Barger and Bunge (2010) <doi:10.1214/10-BA527>, frequency-ratio-based estimators described in Willis and Bunge (2015) <doi:10.1111/biom.12332>, and as described in Willis, Whitman, and Bunge (2016) <doi:10.1111/rssc.12206>, a linear modeling approach for detecting changes in diversity.

Last Updated

May 1, 2022 at 12:05

License

GPL-2

Total Downloads

7.5K

Supported Platforms

noarch

Unsupported Platforms

linux-64 Last supported version: 3.0
macOS-64 Last supported version: 3.0